{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T13:36:02Z","timestamp":1773408962633,"version":"3.50.1"},"reference-count":40,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["41820104005"],"award-info":[{"award-number":["41820104005"]}]},{"name":"National Natural Science Foundation of China","award":["41904004"],"award-info":[{"award-number":["41904004"]}]},{"name":"National Natural Science Foundation of China","award":["42030112"],"award-info":[{"award-number":["42030112"]}]},{"name":"National Natural Science Foundation of China","award":["42171387"],"award-info":[{"award-number":["42171387"]}]},{"name":"National Natural Science Foundation of China","award":["41804004"],"award-info":[{"award-number":["41804004"]}]},{"name":"National Natural Science Foundation of China","award":["2021JJ30808"],"award-info":[{"award-number":["2021JJ30808"]}]},{"name":"Natural Science Foundation of Hunan province","award":["41820104005"],"award-info":[{"award-number":["41820104005"]}]},{"name":"Natural Science Foundation of Hunan province","award":["41904004"],"award-info":[{"award-number":["41904004"]}]},{"name":"Natural Science Foundation of Hunan province","award":["42030112"],"award-info":[{"award-number":["42030112"]}]},{"name":"Natural Science Foundation of Hunan province","award":["42171387"],"award-info":[{"award-number":["42171387"]}]},{"name":"Natural Science Foundation of Hunan province","award":["41804004"],"award-info":[{"award-number":["41804004"]}]},{"name":"Natural Science Foundation of Hunan province","award":["2021JJ30808"],"award-info":[{"award-number":["2021JJ30808"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>New scattering models are constantly emerging to extract the detailed polarization information of ground targets. They contribute to the refined interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. However, an increasingly prominent problem lies ahead of model decomposition methods when there are similar scattering models for a decomposition scheme. It is difficult to separate the polarization power of similar scattering mechanisms reasonably and robustly. Therefore, in this paper, we first analyze the necessity of orthogonality between scattering models. Following this, we propose two mutually orthogonal rank-1 scattering models, which can degenerate to mostly current scattering models. The orthogonality and adaptability of scattering models are considered in the model derivation. Simulated PolSAR data, real ALOS-2\/PALSAR-2, GF-3, and E-SAR data are selected to validate the proposed method. As shown by the results, first, the proposed method enhances the double-bounce scattering contribution in urban areas and maintains the volume-scattering contribution in vegetation areas because it separates the polarization power of different scattering mechanisms more reasonably. Second, the proposed method is powerful in the robust interpretation of different ground targets, resulting from the orthogonality of scattering models. These two characteristics of orthogonal scattering models are expected to play a positive role in large-scale applications, especially in land-cover classification.<\/jats:p>","DOI":"10.3390\/rs14174326","type":"journal-article","created":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T00:19:01Z","timestamp":1662077941000},"page":"4326","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Orthogonal Scattering Model-Based Three-Component Decomposition of Polarimetric SAR Data"],"prefix":"10.3390","volume":"14","author":[{"given":"Wentao","family":"Han","sequence":"first","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiqiang","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianjun","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinghua","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geoscience (Wuhan), Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shurong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1109\/MSP.2014.2312099","article-title":"Modeling and interpretation of scattering mechanisms in polarimetric synthetic aperture radar: Advances and perspectives","volume":"31","author":"Chen","year":"2014","journal-title":"IEEE Signal Process. 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